| #SBATCH --job-name=pile-all-jsonl-to-meg-alpha # job name | |
| #SBATCH --ntasks=1 # number of MP tasks | |
| #SBATCH --nodes=1 | |
| #SBATCH --cpus-per-task=40 # number of cores per tasks | |
| #SBATCH --hint=nomultithread # we get physical cores not logical | |
| #SBATCH --time=20:00:00 # maximum execution time (HH:MM:SS) | |
| #SBATCH --qos=qos_cpu-t3 | |
| #SBATCH --output=%x-%j.out # output file name | |
| #SBATCH --account=six@cpu | |
| #SBATCH --partition=cpu_p1 | |
| set -x -e | |
| source $six_ALL_CCFRWORK/start-prod | |
| export HF_DATASETS_OFFLINE=1 | |
| export TRANSFORMERS_OFFLINE=1 | |
| input=$six_ALL_CCFRSCRATCH/datasets-custom/pile/train/$1.jsonl | |
| output=$six_ALL_CCFRSCRATCH/datasets-custom/pile/processed/pile-$1-alpha | |
| cd $six_ALL_CCFRWORK/code/Megatron-DeepSpeed | |
| /usr/bin/time -v python tools/preprocess_data.py \ | |
| --input $input \ | |
| --output-prefix $output \ | |
| --dataset-impl mmap \ | |
| --tokenizer-type PretrainedFromHF \ | |
| --tokenizer-name-or-path bigscience/oscar_13_languages_alpha_weight \ | |
| --append-eod \ | |
| --workers 25 | |